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Vision Transformer for Small-Size Datasets

Vision Transformer for Small-Size Datasets

27 December 2021
Seung Hoon Lee
Seunghyun Lee
B. Song
    ViT
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Papers citing "Vision Transformer for Small-Size Datasets"

50 / 109 papers shown
Title
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked
  Autoencoders
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
Srijan Das
Tanmay Jain
Dominick Reilly
P. Balaji
Soumyajit Karmakar
Shyam Marjit
Xiang Li
Abhijit Das
Michael S. Ryoo
39
16
0
31 Oct 2023
Distilling Inductive Bias: Knowledge Distillation Beyond Model
  Compression
Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression
Gousia Habib
Tausifa Jan Saleem
Brejesh Lall
VLM
25
0
0
30 Sep 2023
Multi-Dimensional Hyena for Spatial Inductive Bias
Multi-Dimensional Hyena for Spatial Inductive Bias
Itamar Zimerman
Lior Wolf
ViT
30
4
0
24 Sep 2023
Asca: less audio data is more insightful
Asca: less audio data is more insightful
Xiang Li
Jing Chen
Chao Li
Hongwu Lv
12
0
0
23 Sep 2023
Increasing diversity of omni-directional images generated from single
  image using cGAN based on MLPMixer
Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer
Atsuya Nakata
Ryuto Miyazaki
Takao Yamanaka
32
1
0
15 Sep 2023
Toward a Deeper Understanding: RetNet Viewed through Convolution
Toward a Deeper Understanding: RetNet Viewed through Convolution
Chenghao Li
Chaoning Zhang
ViT
35
7
0
11 Sep 2023
Boosting Residual Networks with Group Knowledge
Boosting Residual Networks with Group Knowledge
Shengji Tang
Peng Ye
Baopu Li
Wei Lin
Tao Chen
Tong He
Chong Yu
Wanli Ouyang
46
5
0
26 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in
  Federated Learning
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee
Minchan Jeong
Sangmook Kim
Jaehoon Oh
Se-Young Yun
FedML
26
8
0
24 Aug 2023
Denoising Diffusion Probabilistic Model for Retinal Image Generation and
  Segmentation
Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation
Alnur Alimanov
Md Baharul Islam
DiffM
MedIm
11
7
0
16 Aug 2023
Experts Weights Averaging: A New General Training Scheme for Vision
  Transformers
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Yongqian Huang
Peng Ye
Xiaoshui Huang
Sheng Li
Tao Chen
Tong He
Wanli Ouyang
MoMe
26
8
0
11 Aug 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from
  Retinal OCT
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT
T. Emre
Marzieh Oghbaie
A. Chakravarty
Antoine Rivail
Sophie Riedl
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
23
1
0
25 Jul 2023
Image Reconstruction using Enhanced Vision Transformer
Image Reconstruction using Enhanced Vision Transformer
N. Verma
Deepkamal Kaur
Lydia W Chau
ViT
24
1
0
11 Jul 2023
A Reliable and Interpretable Framework of Multi-view Learning for Liver
  Fibrosis Staging
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging
Zheyao Gao
Yuanye Liu
Fuping Wu
N. Shi
Yuxin Shi
Xiahai Zhuang
EDL
19
11
0
21 Jun 2023
2-D SSM: A General Spatial Layer for Visual Transformers
2-D SSM: A General Spatial Layer for Visual Transformers
Ethan Baron
Itamar Zimerman
Lior Wolf
28
14
0
11 Jun 2023
Deep Classifier Mimicry without Data Access
Deep Classifier Mimicry without Data Access
Steven Braun
Martin Mundt
Kristian Kersting
DiffM
11
4
0
03 Jun 2023
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
Gaole Dai
Wei Yu Wu
Ziyu Wang
Jie Fu
Shanghang Zhang
Tiejun Huang
AIFin
14
0
0
26 May 2023
Mimetic Initialization of Self-Attention Layers
Mimetic Initialization of Self-Attention Layers
Asher Trockman
J. Zico Kolter
30
30
0
16 May 2023
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Dmitry Demidov
M.H. Sharif
Aliakbar Abdurahimov
Hisham Cholakkal
F. Khan
29
8
0
11 May 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of
  Inductive Biases in Machine Learning
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
Micah Goldblum
Marc Finzi
K. Rowan
A. Wilson
UQCV
FedML
24
37
0
11 Apr 2023
Mask Detection and Classification in Thermal Face Images
Mask Detection and Classification in Thermal Face Images
N. Kowalczyk
J. Rumiński
3DH
CVBM
11
9
0
06 Apr 2023
Ethylene Leak Detection Based on Infrared Imaging: A Benchmark
Ethylene Leak Detection Based on Infrared Imaging: A Benchmark
Xuanchao Ma
Yuchen Liu
16
0
0
04 Apr 2023
Astroformer: More Data Might not be all you need for Classification
Astroformer: More Data Might not be all you need for Classification
Rishit Dagli
28
7
0
03 Apr 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers
Supervised Masked Knowledge Distillation for Few-Shot Transformers
Hanxi Lin
G. Han
Jiawei Ma
Shiyuan Huang
Xudong Lin
Shih-Fu Chang
24
35
0
25 Mar 2023
Fast offset corrected in-memory training
Fast offset corrected in-memory training
Malte J. Rasch
F. Carta
Omobayode Fagbohungbe
Tayfun Gokmen
26
5
0
08 Mar 2023
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive
  Perspective
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective
Haoran Zhu
Boyuan Chen
Carter Yang
ViT
30
28
0
07 Feb 2023
V1T: large-scale mouse V1 response prediction using a Vision Transformer
V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li
I. M. Cornacchia
Nathalie L Rochefort
A. Onken
26
8
0
06 Feb 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and
  Machines?
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin
Thomas Fel
Lakshya Singhal
Rishav Mukherji
Akash Nagaraj
Julien Colin
Thomas Serre
DiffM
30
6
0
27 Jan 2023
Local Learning on Transformers via Feature Reconstruction
Local Learning on Transformers via Feature Reconstruction
P. Pathak
Jingwei Zhang
Dimitris Samaras
ViT
20
5
0
29 Dec 2022
Rethinking Vision Transformers for MobileNet Size and Speed
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li
Ju Hu
Yang Wen
Georgios Evangelidis
Kamyar Salahi
Yanzhi Wang
Sergey Tulyakov
Jian Ren
ViT
35
159
0
15 Dec 2022
Masked autoencoders are effective solution to transformer data-hungry
Masked autoencoders are effective solution to transformer data-hungry
Jia-ju Mao
Honggu Zhou
Xuesong Yin
Binling Nie
MedIm
32
6
0
12 Dec 2022
ObjectStitch: Generative Object Compositing
ObjectStitch: Generative Object Compositing
Yi-Zhe Song
Zhifei Zhang
Zhe-nan Lin
Scott D. Cohen
Brian L. Price
Jianming Zhang
S. Kim
Daniel G. Aliaga
DiffM
20
31
0
02 Dec 2022
TFormer: A throughout fusion transformer for multi-modal skin lesion
  diagnosis
TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Yilan Zhang
Feng-ying Xie
Jianqing Chen
MedIm
20
32
0
21 Nov 2022
Spikeformer: A Novel Architecture for Training High-Performance
  Low-Latency Spiking Neural Network
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
Yudong Li
Yunlin Lei
Xu Yang
24
26
0
19 Nov 2022
Training a Vision Transformer from scratch in less than 24 hours with 1
  GPU
Training a Vision Transformer from scratch in less than 24 hours with 1 GPU
Saghar Irandoust
Thibaut Durand
Yunduz Rakhmangulova
Wenjie Zi
Hossein Hajimirsadeghi
ViT
33
6
0
09 Nov 2022
Explicitly Increasing Input Information Density for Vision Transformers
  on Small Datasets
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Xiangyu Chen
Ying Qin
Wenju Xu
A. Bur
Cuncong Zhong
Guanghui Wang
ViT
38
3
0
25 Oct 2022
Accumulated Trivial Attention Matters in Vision Transformers on Small
  Datasets
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Xiangyu Chen
Qinghao Hu
Kaidong Li
Cuncong Zhong
Guanghui Wang
ViT
35
11
0
22 Oct 2022
Neural Attentive Circuits
Neural Attentive Circuits
Nasim Rahaman
M. Weiß
Francesco Locatello
C. Pal
Yoshua Bengio
Bernhard Schölkopf
Erran L. Li
Nicolas Ballas
32
6
0
14 Oct 2022
How to Train Vision Transformer on Small-scale Datasets?
How to Train Vision Transformer on Small-scale Datasets?
Hanan Gani
Muzammal Naseer
Mohammad Yaqub
ViT
17
49
0
13 Oct 2022
Bridging the Gap Between Vision Transformers and Convolutional Neural
  Networks on Small Datasets
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
Zhiying Lu
Hongtao Xie
Chuanbin Liu
Yongdong Zhang
ViT
25
57
0
12 Oct 2022
Introducing Vision Transformer for Alzheimer's Disease classification
  task with 3D input
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input
Zilun Zhang
Farzad Khalvati
MedIm
ViT
22
9
0
03 Oct 2022
Attention Distillation: self-supervised vision transformer students need
  more guidance
Attention Distillation: self-supervised vision transformer students need more guidance
Kai Wang
Fei Yang
Joost van de Weijer
ViT
22
16
0
03 Oct 2022
Neural Integral Equations
Neural Integral Equations
E. Zappala
Antonio H. O. Fonseca
J. O. Caro
David van Dijk
25
10
0
30 Sep 2022
Augraphy: A Data Augmentation Library for Document Images
Augraphy: A Data Augmentation Library for Document Images
Alexander Groleau
Kok Wei Chee
Stefan Larson
Samay Maini
Jonathan Boarman
24
10
0
30 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang
Sheng-Min Shih
Yinlin Fu
Xiaoting Zhao
Shihao Ji
DiffM
27
56
0
16 Aug 2022
Class-attention Video Transformer for Engagement Intensity Prediction
Class-attention Video Transformer for Engagement Intensity Prediction
Xusheng Ai
Victor S. Sheng
Chunhua Li
Zhiming Cui
ViT
9
5
0
12 Aug 2022
Improving Deep Neural Network Random Initialization Through Neuronal
  Rewiring
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Leonardo F. S. Scabini
B. De Baets
Odemir M. Bruno
AI4CE
23
6
0
17 Jul 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
23
347
0
02 Jun 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing
  Mechanisms in Sequence Learning
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar
Kshitij Gupta
Anirudh Goyal
Nitesh B. Gundavarapu
Alex Lamb
Nan Rosemary Ke
Yoshua Bengio
AI4CE
112
17
0
30 May 2022
MDMLP: Image Classification from Scratch on Small Datasets with MLP
MDMLP: Image Classification from Scratch on Small Datasets with MLP
Tianxu Lv
Chongyang Bai
Chaojie Wang
24
5
0
28 May 2022
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